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Bioinformatics Data Analyst Jobs in Arizona (NOW HIRING)

Caris MPI, Inc.

Manager - Bioinformatics

Phoenix, AZ · On-site

$150 - $210/hr

Support end-to-end genomic data analysis, including quality control, alignment, variant calling ... Ensure bioinformatics processes comply with applicable quality, regulatory, documentation, privacy ...

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Support end-to-end genomic data analysis, including quality control, alignment, variant calling ... Ensure bioinformatics processes comply with applicable quality, regulatory, documentation, privacy ...

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Support end-to-end genomic data analysis, including quality control, alignment, variant calling ... Ensure bioinformatics processes comply with applicable quality, regulatory, documentation, privacy ...

micro1 AI

AI Training Specialist - Life Sciences

Mesa, AZ · Remote

$90 - $120/hr

Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

micro1 AI

AI Training Specialist - Life Sciences

Yuma, AZ · Remote

$90 - $120/hr

Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

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All JobsBioinformatics Data Analyst JobsBioinformatics Data Analyst Jobs in Arizona

Bioinformatics Data Analyst information

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How much do bioinformatics data analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for bioinformatics data analyst in Arizona is $42.70, according to ZipRecruiter salary data. Most workers in this role earn between $33.61 and $45.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a bioinformatics data analyst?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What are popular job titles related to Bioinformatics Data Analyst jobs in Arizona? For Bioinformatics Data Analyst jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Analyst jobs in Arizona look for? The top searched job categories for Bioinformatics Data Analyst jobs in Arizona are:
What cities in Arizona are hiring for Bioinformatics Data Analyst jobs? Cities in Arizona with the most Bioinformatics Data Analyst job openings:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,816 per year, or $42.7 per hour.

Scientist - Bioinformatics

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 9 days ago

Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
The Scientist - Bioinformatics will be responsible for supporting and maintaining Caris' existing NGS pipelines, as well as developing, implementing, and validating new NGS pipelines and related bioinformatics tools. As a member of the Caris Bioinformatics team, this role will work closely with our R&D, Clinical Operations, IT, and executive management to design and manage the analytic workflows and pipelines to support our whole exome, transcriptome, and genome assays.
Job Responsibilities
  • Responsible for the implementation and maintenance of computational pipelines and workflows for the analysis, integration, and interpretation of diverse biologic data including genomic, transcriptomic, proteomic, and metabolomic data.
  • Implement bioinformatics strategies, ensuring alignment with organizational goals and scientific objectives.
  • Collaborate with research, clinical, and data scientists to identify computational needs, translate scientific and clinical questions into analytical workflows, and provide guidance for data processing, quality control, and statistical analysis.
  • Stay abreast of emerging bioinformatics tools, techniques, and best practices, and work to incorporate them into the bioinformatics framework.
  • Ensure the timely delivery of high-quality bioinformatics results by implementing rigorous quality control and validation procedures.
  • Establish and maintain databases, data repositories, and analytical platforms to facilitate data integration, sharing, and access for internal and external stakeholders.
  • Collaborate with IT and software development teams to optimize computational infrastructure, cloud computing, and database systems to support bioinformatics data storage, analysis, and visualization.
  • Ensure compliance with relevant data protection regulations and ethics guidelines, promoting best practices for data management, privacy, and security.
  • Collaborate with internal stakeholders, external partners, and customers to provide technical expertise, foster collaborations, and contribute to the development of joint research projects.

Required Qualifications
  • PhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines.
  • Experience (2-5 years) with state-of-the-art bioinformatics tools, especially NGS pipelines.
  • Knowledge and analytic skills managing bioinformatics data including FASTQ, BAM, and VCF.
  • Programming experience with Python, bash, SQL, GIT.
  • Experience with AWS services (e.g., Lambda, Step Functions and OMICS) and workflow languages such as WDL or Nextflow is preferred.
  • Skills in statistical analysis and data visualization with statistical packages such as R, SAS, or SciPy
  • Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.

Preferred Qualifications
  • Good verbal and written communication skills.
  • Willingness to share and receive information and ideas from all levels of the organization in order to achieve the desired results.
  • Strong foundation in principles and analytical methodologies in computational biology and bioinformatics to build and maintain large scale pipelines.

Physical Demands
  • Must possess ability to sit, stand, and/or work at a computer for long periods of time

Training
  • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

Other
  • This position requires periodic travel and some evenings, weekends and/or holidays.
  • Job may require after-hours response to emergency issues.
  • Periodically scheduled on-call may require after-hours response for technical emergencies not explicitly related to assigned job responsibilities.
  • At times may be required to work weekends/holidays.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

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